2026-04-13T00:51:58Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/2058012025-12-05T12:07:20Zcom_2072_1057col_2072_478916col_2072_478917

00925njm 22002777a 4500 dc Gómez Acebo, Inés author Llorca, Javier author Alonso Molero, Jessica author Díaz Martínez, Marta author Pérez Gómez, Beatriz author Amiano, Pilar author Belmonte, Thalía author Molina, Antonio J. author Burgui, Rosana author Castaño Vinyals, Gemma author Moreno Aguado, Víctor author Molina Barceló, Ana author Marcos Gragera, Rafael author Kogevinas, Manolis author Pollán, Marina author Dierssen Sotos, Trinidad author 2024-01-16T22:17:16Z 2024-01-16T22:17:16Z 2023-11-04 2023-12-13T13:17:24Z PurposeTo build models combining circulating microRNAs (miRNAs) able to identify women with breast cancer as well as different types of breast cancer, when comparing with controls without breast cancer.MethodmiRNAs analysis was performed in two phases: screening phase, with a total n = 40 (10 controls and 30 BC cases) analyzed by Next Generation Sequencing, and validation phase, which included 131 controls and 269 cases. For this second phase, the miRNAs were selected combining the screening phase results and a revision of the literature. They were quantified using RT-PCR. Models were built using logistic regression with LASSO penalization.ResultsThe model for all cases included seven miRNAs (miR-423-3p, miR-139-5p, miR-324-5p, miR-1299, miR-101-3p, miR-186-5p and miR-29a-3p); which had an area under the ROC curve of 0.73. The model for cases diagnosed via screening only took in one miRNA (miR-101-3p); the area under the ROC curve was 0.63. The model for disease-free cases in the follow-up had five miRNAs (miR-101-3p, miR-186-5p, miR-423-3p, miR-142-3p and miR-1299) and the area under the ROC curve was 0.73. Finally, the model for cases with active disease in the follow-up contained six miRNAs (miR-101-3p, miR-423-3p, miR-139-5p, miR-1307-3p, miR-331-3p and miR-21-3p) and its area under the ROC curve was 0.82.ConclusionWe present four models involving eleven miRNAs to differentiate healthy controls from different types of BC cases. Our models scarcely overlap with those previously reported. RNA Càncer de mama RNA Breast cancer Circulating miRNAs signature on breast cancer: the MCC-Spain project